3.9 (05-27-2015)

Important

This update maintains backward-compatibility but does augment the detailed analysis output with new fields for model-based sentiment under ModelSentiment. Currently, custom models can only be created with the help of Semantria Professional Services. Contact sales@semantria.com for a quote.

3.8 (02-18-2015)

New languages

New features

Added "entities_threshold" option on Configuration level for managing of entities reporting threshold based on engine’s confidence.

Introduced the new /features end-point that exposes the supported features per the languages offered by Semantria. The API automatically allows / denies the setting of certain limits on the configuration level according to the supported features.

Introduced a new approach for limiting the frequency of allowed API calls. Currently we limit data calls only by the balance. Configuration and polling API calls are limited by the transport API calls limit. In the new version we limit the number of data API calls per second and divide the transport API calls limit by the polling and settings limits. This keeps configuration API calls from interfering with data API calls.

Inability to use punctuation marks within query terms during query-driven entities definition

Wrong content-type header sent by callback service along with the data

Adding of punctuation marks in normalized form during query-driven entities definition

3.5.1 (10-10-2013)

Features

Introduced support for Chinese. All Lexalytics Salience features for Chinese language, except for opinions and relationships, are now supported by Semantria.

HTML processing is now supported out of the box. Switch on HTML processing in Semantria configuration and Semantria will clean out HTML tags from content automatically.

Introduction of Auto-Categories feature for Basic Mode. Based on Lexalytics’ Salience Concept Topics, Auto-Categories are generated automatically based on the Wikipedia taxonomy (720+ nodes)

Added Mentions output for Themes and Entities of collection processing mode (Semantria Discovery Mode). Limits for both Theme and Entity mentions can be configured through configuration (Discovery Mode section).

Added “Normalized” field to custom entities configuration through the API. Normalized field allows different entity names to be normalized into a common one (i.e. Big Blue, Intelligent Business Machines, and IBM to IBM).

Added Tag field to the incoming/outgoing documents. It can be used as free text marker that Semantria will return back to the user.

Added “Is inverted” marker to words returned by POS tagging feature. Marker indicates whether word is a part of sentiment inverting construction like a negator.

Added “Label” field to the Topics (concept/query) output for both Basic and Discovery modes. Label can contains any descriptive information about topic, same as Semantria Named Entities.

Enhanced “Location” output for Discovery mode. Now it returns not only index number of the document where entity was mentioned, but byte offset and its length as well.

Fixes

Fixed bug with wrong Location offset for Mentions in the content with multi-byte symbols.

Fixed bug preventing limits for any output data in a configuration to be more than 20. New API allows any limits to be set on demand and doesn’t reset it on configuration update.

Fixed bug with incorrect evidence values for Themes and Entities. Now it’s spread between 1 and 7 and doesn’t remain 4 or 7 all time.

3.1 (04-06-2013)

Features

Mentions for named and user entities, and document and entity themes. Similar to facets, mentions will be genuine, not normalized, forms of entities and themes from the text.

Opinions for named and user entities. Opinions are people’s subjective quotations regarding topics within the text.

Label fields for named and user entities. This field contains auxiliary information on certain entities. Labels will be available as an additional field for the entities output and as an additional field for entities definition through the entities configuration end-point.

“language_score” property for language detection. A numerical representation of the engine’s confidence in correct language detection.

Fixed many known bugs.

3.0.2 (02-04-2013)

Features

Mentions for attributes for collection processing mode. Mentions are non-normalized attributes that were originally mentioned in the text along with the facet. Mentions allows the API users to return back to the exact documents where the extracted attribute was mentioned.

Semantria now generates 5 configurations for every new registration out of the box. There are 5 configurations for all available languages with the sample Categories, Queries, Entities and Sentiment-bearing phrases.

Added possibility of adjust low-level analysis patterns per available customer’s configurations. This makes Semantria a completely flexible solution that can be adjusted per customer needs on demand.

Fixed all known bugs.

3.0.1 (26-02-2013)

Features

Mentions feature for collection processing mode. Mentions are non-normalized facets that were originally mentioned in the text. Mentions allows the API users to return back to the exact documents where the extracted facet was mentioned.

Fixed all known bugs related to the newest API 3.0 release.

3.0 (14-02-2013)

Features

Completely new infrastructure that brings performance to the new level and doesn’t depend on frequent configuration switching.

Added possibility of responding with the original text along with the analysis result.

Fixed many known and reported bugs.

Reworked all API SDK’s according to best practices related to the language they are written for.
Note:SDKs designed for API 2.x will still use the API 2.0 infrastructure. To use API 3.0's new infrastructure, client-side endpoints must update to SDKs designed for API 3.x.

2.1 (18-09-2012)

Features

User Entities adjustment API, which allows customers to teach the engine their own entities.